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Sewage sludge gasification as an alternative energy storage model

机译：污泥气化作为替代能源存储模型

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Renewable energy production, storage and utilization has been studied in connection with fluctuating renewable power production and demand. The coupling has been considered of surplus renewable power with sewage sludge gasification and renewable syngas storage. High quality syngas produced with power support can be introduced into a gas distribution network or stored and utilized on site. Both systems enable gas consumption at power and heat demand periods. The efficiency of power conversion to syngas produced from high moisture sewage sludge has been studied using a developed equilibrium thermodynamic model for the gasification process providing the calculated prediction of the syngas amount and composition. Furthermore, the total energy efficiency has been studied of the syngas production and utilization system. The results show that the optimum scenario to get syngas suitable to introduce into a natural gas distribution network would be to gasify sewage sludge with 35-40 wt.% moisture, while the optimal parameter for syngas to be valorized onsite is, in terms of efficiency, with SS dried to 20 wt.% of moisture content. In the first scenario, a little more power is produced from stored gas in a natural gas distribution network than consumed, and almost twice as much is produced with on-site production, storage and utilization. The study has showed a technically feasible management option for energy production, storage and consumption with available technologies and infrastructure. (C) 2017 Elsevier Ltd. All rights reserved.
机译：已经研究了可再生能源的生产，存储和利用，以应对可再生能源生产和需求的波动。人们已经考虑将多余的可再生能源与污水污泥气化和可再生合成气存储结合起来。在动力支持下产生的高质量合成气可以引入到气体分配网络中，或在现场存储和利用。两种系统均可在用电和供热期间消耗气体。使用发达的气化过程平衡热力学模型研究了高水分污水污泥产生的合成气的功率转换效率，该模型提供了合成气量和组成的计算预测。此外，已经研究了合成气生产和利用系统的总能量效率。结果表明，使合成气适合引入天然气分销网络的最佳方案是气化含水量为35％至40％的污水污泥，而就效率而言，要现场评估的合成气的最佳参数是，将SS干燥至水分含量为20 wt。％。在第一种情况下，天然气分配网络中存储的气体产生的电力多于消耗的电力，而现场生产，存储和利用产生的电力几乎是其两倍。该研究表明，利用现有技术和基础设施，在能源生产，存储和消耗方面提供了一种技术上可行的管理方案。 （C）2017 Elsevier Ltd.保留所有权利。

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